Fault diagnostic of variance shifts in clinical monitoring using an Artificial Neural Network Input Gain Measurement Approximation (ANNIGMA)

Gunaratne, Nadeera Gnan Tilshan, Abdollahian, Mali and Huda, Shamsul 2018, Fault diagnostic of variance shifts in clinical monitoring using an Artificial Neural Network Input Gain Measurement Approximation (ANNIGMA), in ITNG 2018 : Proceedings of the International Conference on Information Technology - New Generations, Springer, Cham, Switzerland, pp. 295-300, doi: 10.1007/978-3-319-77028-4_40.

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Title Fault diagnostic of variance shifts in clinical monitoring using an Artificial Neural Network Input Gain Measurement Approximation (ANNIGMA)
Author(s) Gunaratne, Nadeera Gnan Tilshan
Abdollahian, Mali
Huda, Shamsul
Conference name Information Technology : New Generations. International Conference ( 15th : 2018 : Las Vegas, Nevada)
Conference location Las Vegas, Nevada
Conference dates 2018/04/16 - 2018/04/18
Title of proceedings ITNG 2018 : Proceedings of the International Conference on Information Technology - New Generations
Editor(s) Latifi, S.
Publication date 2018
Series Advances in Intelligent Systems and Computing
Start page 295
End page 300
Total pages 6
Publisher Springer
Place of publication Cham, Switzerland
ISBN 9783319770277
ISSN 2194-5357
Language eng
DOI 10.1007/978-3-319-77028-4_40
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2018, Springer International Publishing AG
Persistent URL http://hdl.handle.net/10536/DRO/DU:30120213

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